# app.py – BizIntel AI Ultra (Gemini 1.5 Pro, selectable date column) import os import tempfile import pandas as pd import streamlit as st import google.generativeai as genai from tools.csv_parser import parse_csv_tool from tools.plot_generator import plot_sales_tool from tools.forecaster import forecast_tool # must accept date_col param # ────────────────────────────────────────────────────────────── # 1. GEMINI CONFIG (1.5‑pro, temperature 0.7) # ────────────────────────────────────────────────────────────── genai.configure(api_key=os.getenv("GEMINI_APIKEY")) gemini = genai.GenerativeModel( model="gemini-1.5-pro-latest", temperature=0.7, top_p=0.9, response_mime_type="text/markdown", ) # ────────────────────────────────────────────────────────────── # 2. STREAMLIT PAGE SETUP # ────────────────────────────────────────────────────────────── st.set_page_config(page_title="BizIntel AI Ultra – Gemini 1.5 Pro", layout="wide") st.title("📊 BizIntel AI Ultra – Advanced Analytics Pipeline") TEMP_DIR = tempfile.gettempdir() # ────────────────────────────────────────────────────────────── # 3. CSV UPLOAD # ────────────────────────────────────────────────────────────── csv_file = st.file_uploader("Upload a CSV file (≤ 200 MB)", type=["csv"]) if not csv_file: st.info("⬆️ Upload a CSV to begin.") st.stop() csv_path = os.path.join(TEMP_DIR, csv_file.name) with open(csv_path, "wb") as f: f.write(csv_file.read()) st.success("CSV saved to temporary storage ✅") # Preview first rows for column selection df_preview = pd.read_csv(csv_path, nrows=5) st.dataframe(df_preview) # ────────────────────────────────────────────────────────────── # 4. DATE COLUMN CHOICE # ────────────────────────────────────────────────────────────── date_col = st.selectbox("Choose the date/time column for forecasting", df_preview.columns) # ────────────────────────────────────────────────────────────── # 5. RUN LOCAL TOOLS # ────────────────────────────────────────────────────────────── with st.spinner("Parsing CSV…"): summary_text = parse_csv_tool(csv_path) with st.spinner("Generating sales trend chart…"): trend_msg = plot_sales_tool(csv_path) # creates sales_plot.png with st.spinner("Forecasting future metrics…"): forecast_text = forecast_tool(csv_path, date_col=date_col) # ← passes chosen column # ────────────────────────────────────────────────────────────── # 6. GEMINI 1.5‑PRO STRATEGY (stream) # ────────────────────────────────────────────────────────────── prompt = f""" You are BizIntel Strategist AI. **CSV SUMMARY**